oxirs_vec/adaptive_intelligent_caching/
ml_models.rs

1//! Machine learning models for intelligent caching decisions
2
3use anyhow::Result;
4use std::collections::HashMap;
5use std::time::SystemTime;
6
7use super::types::{
8    AccessPredictionModel, CacheKey, CacheValue, EvictionTimingModel, FeatureExtractor,
9    HitProbabilityModel, OptimizationObjective, TierPlacementModel,
10};
11
12/// Machine learning models for intelligent caching decisions
13#[derive(Debug)]
14pub struct MLModels {
15    /// Access pattern prediction model
16    access_predictor: AccessPredictionModel,
17    /// Cache hit probability model
18    hit_probability_model: HitProbabilityModel,
19    /// Optimal tier placement model
20    pub(crate) tier_placement_model: TierPlacementModel,
21    /// Eviction timing model
22    eviction_timing_model: EvictionTimingModel,
23}
24
25impl MLModels {
26    pub fn new() -> Result<Self> {
27        Ok(Self {
28            access_predictor: AccessPredictionModel {
29                model_weights: vec![1.0, 0.8, 0.6, 0.4],
30                feature_extractors: vec![
31                    FeatureExtractor::AccessFrequency,
32                    FeatureExtractor::RecencyScore,
33                    FeatureExtractor::SizeMetric,
34                    FeatureExtractor::ComputationCost,
35                ],
36                prediction_accuracy: 0.75,
37            },
38            hit_probability_model: HitProbabilityModel {
39                probability_matrix: HashMap::new(),
40                model_confidence: 0.8,
41                last_update: SystemTime::now(),
42            },
43            tier_placement_model: TierPlacementModel {
44                placement_scores: HashMap::new(),
45                optimization_objective: OptimizationObjective::BalancedPerformance,
46            },
47            eviction_timing_model: EvictionTimingModel {
48                survival_functions: HashMap::new(),
49                hazard_rates: HashMap::new(),
50            },
51        })
52    }
53
54    pub fn update_with_store_event(&mut self, _key: &CacheKey, _value: &CacheValue, _tier: u32) {
55        // Implementation would update ML models with new data
56    }
57}
58
59impl TierPlacementModel {
60    pub fn predict_optimal_tier(&self, _key: &CacheKey, _value: &CacheValue) -> u32 {
61        // Simplified: for now just return tier 0 (fastest)
62        0
63    }
64}